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1.
SN business & economics ; 2(12), 2022.
Article in English | EuropePMC | ID: covidwho-2147707

ABSTRACT

The Covid-19 pandemic has been a huge challenge for governments all over the world, as well as for the World Health Organization (WHO) and the pharmaceutical companies in charge of creating the vaccines against the coronavirus. The success of all the efforts and the measures put in place to contain the spread of the contagion and to immunize people, however, also depends on people social compliance. In this study, we thus investigate how demographic and socio-economic variables affected individuals’ economic and health-related worries due to the Covid-19 pandemic. Using questions created by the WHO, we surveyed about 3000 Italians between May and June 2020. Our results show that individuals’ socio-demographic and socio-economic characteristics are engaged with distinct types of worries due to Covid-19, such as health-related worries, economic-related worries and worries connected to restrictions on movements. Our findings have implications for decision makers and policy makers in showing how important is to consider demographic and socio-economic differences between individuals, to better understand how people are differently affected by different worries and which actions and policies may be more effective in protecting and supporting people especially the most vulnerable ones.

2.
Global Finance Journal ; : 100680, 2021.
Article in English | ScienceDirect | ID: covidwho-1499886

ABSTRACT

We investigate how the COVID-19 pandemic affected people's health-related choices and spending habits in Italy, the first European country to be heavily affected by the pandemic. We collected about 3000 questionnaires in May and June 2020 (that is, during the stabilization phase that followed the country's lockdown), asking questions taken from the “Survey tool and guidance: rapid, simple, flexible behavioural insights on COVID-19” issued by the World Health Organization (WHO), and correlated the responses with respondents' demographic and socioeconomic profiles. A principal component analysis (PCA) shows three main components that we label “Unusual behavior,” “Precautionary spending,” and “Augmented social distancing,” which vary with demographic and socioeconomic characteristics.

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